scholarly journals KLASIFIKASI DAERAH KABUPATEN/KOTA DI PROPINSI MALUKU BERDASARKAN TIPOLOGI KLASSEN

2021 ◽  
Author(s):  
PAULUS LARATMASE
Keyword(s):  
Secondary Data ◽  
Gdp Per Capita ◽  
Analysis Tool ◽  
City Region ◽  
Left Behind ◽  
Per Capita ◽  
Classification Of Regions ◽  
Underdeveloped Region ◽  
Typology Analysis

This study aims to determine the classification of regions (districts / cities) in Maluku Province based on the Klassen typology. This research was conducted in Maluku Province with the consideration that Maluku is one of the provinces with a GDP level, PDR growth rate, and a relatively small GDP per capita compared to the Provinces in Indonesia, but with the potential it has a possibility to increase economic growth. This study uses secondary data in the form of data on Gross Regional Domestic Product (GRDP) on the basis of constant prices, both growth rates, contributions and GDP per capita. The data collection method used, namely the documentation method, then carried out the analysis using the Klassen Typology analysis tool, Based on the results of the study there were 2 Cities and 1 District classified as fast-developing and fast-growing regions, fast developing regions consisting of two Regencies, Districts / Cities classified in the classification of advanced but depressed areas / potential to be left behind consists of 3 Three Districts. Regency / City Region classified as relatively underdeveloped region consists of 3 Districts

scholarly journals ANALISIS PERTUMBUHAN EKONOMI DAN KETIMPANGAN DISTRIBUSI PENDAPATAN PROVINSI BALI

2020 ◽  
Vol 3 (2) ◽  
pp. 335-344
Author(s):  
Rendi Kurniawan ◽  
Syamsul Huda
Keyword(s):  
Income Distribution ◽  
Calculation Result ◽  
Capita Income ◽  
Secondary Data ◽  
Strong Relationship ◽  
Kuznets Curve ◽  
Per Capita ◽  
Typology Analysis ◽  
The Relationship ◽  
Index Calculation

This study aims to determine the Regency / City Classification in Bali Province based on the Klassen Typology, the condition of income distribution inequality between districts / cities, the relationship between income distribution inequality with per capita income, and whether the relationship forms the U-Reverse Kuznets Curve. This research is an analysis of secondary data obtained from BPS Bali Province. The analytical model used is Klassen Typology analysis, Williamson Index, Product Moment Correlation (Pearson). Klassen's Typology Results, Badung Regency and Denpasar City are included in Quadrant I area, Gianyar Regency is included in Quadrant III area, and the remaining 6 Regencies are included in Quadrant IV area. Furthermore, the Williamson Index Calculation in the Year of Observation shows that there is an imbalance in the Province of Bali which shows a downward trend. While the calculation result of Product Moment Correlation (Pearson) shows a very strong relationship between the Williamson Index and the Per capita GRDP and is negative, but the relationship does not form the Kuznets Curve to be a U-Reverse letter.

scholarly journals PERTUMBUHAN PENDUDUK, INFLASI DAN KORUPSI: ANALISIS EMPIRIS ENVIRONMENTAL KUZNETS CURVE (EKC) DI KAWASAN ASEAN PERIODE 2002-2016

2019 ◽  
Vol 1 (3) ◽  
pp. 71
Author(s):  
Muhammad Fajri Setia Trianto ◽  
Evi Yulia Purwanti
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Secondary Data ◽  
Gdp Per Capita ◽  
Environmental Damage ◽  
Kuznets Curve ◽  
Per Capita ◽  
The Impact

The economy that continues to grow has the impact of environmental damage. This study aims to prove empirically the Environmental Kuznets Curve (EKC) hypothesis by analyzing the relationship of economic growth with environmental damage as measured by GDP per capita, and CO2 emissions. The data used are secondary data in the form of data on GDP per capita, CO2 emissions, population growth, inflation, and control of corruption in 10 countries in the ASEAN region in 2002-2016. Data analysis using the Fixed Effect model. The results show that there is a relationship between economic growth and environmental damage that forms an inverted U curve. Economic growth will initially have a positive effect on environmental damage so that at a point of economic growth negatively affects environmental damage. By adding control variables: population growth, inflation and corruption, inflation and corruption positively impact environmental damage, while population negatively affect environmental damage.

scholarly journals DAYA SAING EKONOMI PROVINSI JAMBI

2019 ◽  
Vol 15 (1) ◽  
pp. 68-76
Author(s):  
Sudirman Sudirman ◽  
Susilawati Susilawati
Keyword(s):  
Growth Rate ◽  
Capita Income ◽  
Secondary Data ◽  
Type I ◽  
Per Capita Income ◽  
Economic Sectors ◽  
Rate Of Growth ◽  
Per Capita ◽  
Typology Analysis ◽  
The City

In this study, we want to see the economic basis and pattern of economic structure in JambiProvince, This study uses secondary data, namely Jambi Provisional PDRB and 11 municipaldistricts in Jambi province in 2010 - 2017 in this study to see the basis of the economy and the mixof economic sectors in Jambi province using the LQ model and the classification typology. Theresults of this study indicate that from the results of the classic typology analysis, it can be seen thatthe patterns and structure of economic growth from 9 districts and 2 cities in Jambi Province, WestTanjung Jabung and East Tanjung Jabung districts are classified into Quadrant III decliningprosperous regions (potential to be left behind ), which means that the rate of growth and incomeper capita of Tanjung Jabung Barat district is higher than the per capita income of Jambi Provinceand the growth rate of Tanjung Jabung Barat district is lower than the rate of growth of JambiProvince. Whereas the City of Full Sei is classified into the prospereus quadrant type I area whichmeans that the per capita income of Sei Full City is greater than the income of the Perkapita ofJambi Province and the growth rate of the city of Full Sei is greater than the Growth Rate in JambiProvince.

scholarly journals PENGEMBANGAN DAERAH BERDASARKAN TIPOLOGI PERTUMBUHAN EKONOMI DAN KETIMPANGAN SEKTOR DI WILAYAH KEDUNG SEPUR

JEJAK ◽  
2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Deky Aji Suseno
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Income Distribution ◽  
Development Strategy ◽  
Gdp Growth ◽  
Economic Development Strategy ◽  
Classification Of Regions ◽  
Typology Analysis ◽  
Economic Development Strategies

<p>Penelitian ini bertujuan melakukan analisis tipologi pertumbuhan ekonomi dan ketimpangan sektor di wilayah Kedung Sepur, yang selanjutnya dapat menerapkan strategi pengembangan perekonomian di wilayah Kedung Sepur berdasarkan tipologi pertumbuhan ekonomi dan ketimpangan sektor.Metode analisis menggunakan tipologi pertumbuhan ekonomi dan ketimpangan sektoral serta analisis deskriptif.Hasilnya adalah Kabupaten Demak dan Grobogan (Purwodadi) masuk pada klasifikasi daerah dengan pertumbuhan dan ketimpangan sektoral dibawah rata-rata.Kota dan Kabupaten Semarang masuk pada klasifikasi daerah dengan pertumbuhan PDRB dan ketimpangan sektoralnya diatas rata-rata.Sedangkan Kabupaten Kendal dan Kota Salatiga mempunyai pertumbuhan PDRB diatas rata-rata dan ketimpangan sektoralnya dibawah rata-rata.Fokus strategi pembangunan ekonomi yang harus dilakukan adalah sesuai dengan posisi klasifikasi daerah.Demak dan Grobogan fokus pada pertumbuhan ekonomi.Kota dan Kabupaten Semarang fokus pada pemerataan pendapatan sektoralnya.Kabupaten Kendal dan Kota Salatiga sudah baik, hanya perlu mempertahankan kondisi tersebut.</p><p>This study aimed to analyze the typology of economic growth and inequality in the region Kedung railroad sector, which in turn can implement economic development strategies in the region Kedung railroad based typology of economic growth and inequality sektor.Metode typology analysis using economic growth and sectoral imbalances and analysis is deskriptif.Hasilnya Demak and Grobogan (Purwodadi) entered in the classification of areas with growth and sectoral imbalances below the rata.Kota and Semarang district entered on the classification of regions with GDP growth and sectoral imbalances above the rata.Sedangkan Kendal and Salatiga has a GDP growth above average and below the average sectoral imbalances rata.Fokus economic development strategy that should be done is in accordance with the position classification and Grobogan daerah.Demak ekonomi.Kota focus on growth and Semarang District focus on income distribution sektoralnya.Kabupaten Kendal and had good Salatiga , only need to maintain these conditions.</p>

Development, the Second Time Around: The Political Logic of Developing Western China

2004 ◽  
Vol 4 (3) ◽  
pp. 427-451 ◽  
Author(s):  
Victor Shih
Keyword(s):  
Developmental State ◽  
Developmental Trajectory ◽  
Western China ◽  
Gdp Per Capita ◽  
The Political ◽  
State Council ◽  
The West ◽  
Per Capita ◽  
Underdeveloped Region ◽  
Great Development

The Great Development of the West is no more than grand conferences held in the west (Xibu Dakaifa zhishi xibu dakaihui).—State Council officials in charge of developing the westOn the surface, the Great Development of the West (GDW, Xibu Dakaifa) campaign seems like a classic maneuver by a developmental state to bolster the growth of an underdeveloped region. Even in 2002, GDP per capita in western China, which includes the provinces of Xinjiang, Tibet, Ningxia, Gansu, Shaanxi, Sichuan, Chongqing, Qinghai, Yunnan, and Guizhou, remained at U.S.$666, or just more than half of the national average (see Table 1). The poorest province in China, Guizhou, had a GDP per capita of only U.S.$375, roughly equivalent to Haiti's GDP per capita in 1999. The effort to develop western China, according to the official rhetoric, was aimed at shifting western China's developmental trajectory closer to that of the rest of China, thus decreasing regional inequality and bolstering overall growth.

scholarly journals Human Capital in Agriculture Sector in Indonesia

SPLASH Magz ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 86-92
Author(s):  
Benjamin Drean ◽  
◽  
Eny Lestari Widarni ◽  
Keyword(s):  
Human Capital ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Work Participation ◽  
Gdp Per Capita ◽  
Agriculture Sector ◽  
Education And Health ◽  
The People ◽  
Per Capita

This study aims to examine the role of education and health in increasing work participation and income of the people in Indonesia. To achieve this goal, data on GDP per capita, Employment in Agriculture, Health, and education are observed. This study uses the Quantitative Threshold Autoregressive method which is used to predict the behavior of the data so that the relationship behavior between the data can be seen. In analyzing the threshold variable, the GDP per capita variant is used as an indicator of people's income growth, Employment in agriculture as work participation in the agricultural sector, health as an indicator of health investment, and education as an indicator of educational investment. GDP per capita, Employment in agriculture, and health as the threshold variable. Meanwhile, the non-threshold variable is education. All data are secondary data from world banks with an annual period of 2000 - 2019. We found that education and health are two things that form the basis of human capital. The role of education and health in Indonesia in developing agriculture and improving the welfare of the people in Indonesia plays an important role and is able to make a significant contribution to the development of the agricultural sector and the welfare of the people in Indonesia.

scholarly journals An Overview of Digital Entrepreneurship in Central and Eastern European Countries

2021 ◽  
Author(s):  
Mladen Turuk
Keyword(s):  
Information Technologies ◽  
Positive Impact ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
European Countries ◽  
Gdp Per Capita ◽  
Eastern European ◽  
Per Capita ◽  
Eastern European Countries ◽  
Digital Entrepreneurship

The aim of the study is to explore and present an overview of digital entrepreneurship in Central and Eastern European countries and to examine how certain components of the DESI index affect GDP per capita in CEE countries and in what way modern information technologies affect their economies. The paper uses secondary data sources, mostly scientific and professional journals from the studied area, DESI reports, Eurostat data, and other Internet sources. The first part of the paper presents a short introduction on digitization digital entrepreneurship and digital technologies. The second part provides a descriptive analysis of digital entrepreneurship indicators and explores business demography in the ICT sector while the third part refers to the analysis of the DESI index. The panel method on data from 2015 to 2019 was used to show the influence of the different DESI index components on the observed countries’ GDP per capita. The hypothesis that the components of the DESI index have a positive impact on GDP per capita has been partially confirmed. DESI rank, Connectivity and Human capital did not prove to be significant, while Use of internet services, Integration of digital technology, and Digital public services proved their significant positive effect.

scholarly journals PENGEMBANGAN POTENSI EKONOMI DAN PENETAPAN SEKTOR UNGGULAN DI PROVINSI JAWA TIMUR WILAYAH UTARA

Media Ekonomi ◽  
2019 ◽  
Vol 26 (2) ◽  
pp. 127
Author(s):  
Reza Aditama
Keyword(s):  
Growth Rate ◽  
Analysis Tool ◽  
Economic Potential ◽  
Reference Region ◽  
Location Quotient ◽  
Microsoft Excel ◽  
The North ◽  
Per Capita ◽  
Typology Analysis

<em>This research aims to look at the economic potential and determination of superior sectors in the eastern Java province of the north. <em>This research uses the Klassen Typology, Location Quotient, and Shift Share analysis with the help of Microsoft Excel 2013 analysis tool. The data used in this study are East Java Province GRDP Growth Rate, GRDP Growth Rate and GDP per capita in East Java Province in the period 2012 to 2016. <em>The results of the Klassen Typology analysis show that there are in quadrant 1, Bojonegoro district, 2 districts are in quadrant 3 namely Lamungan and Sumenep districts, and there are 5 districts in quadrant 4 namely Tuban district, Ngawi district, Bangkalan district, Sampang district, Sumenep district . In the LQ Analysis results are obtained about the sectors that become the base sector. The result is that Lamungan district has 10 base sectors, Bojonegoro district has 4 base sectors, Tuban district has 7 base sectors, Ngawi district has 5 base sectors, Bangkalan district has 6 base sectors, Sampang district has 4 base sectors, Pamekasan district has 8 sectors base, Sumenep district has 3 base sectors. Furthermore, from the Shift Share analysis, the results of the competitive sector and growing faster than the reference region, namely East Java, namely Lamungan district has 8 sectors, Bojonegoro district has 6 sectors, Tuban district has 7 sectors, Ngawi district has 7 sectors, Bangkalan district has 6 sectors , Sampang district has 7 sectors, Pamekasan district has 7 sectors, Sumenep district has 6 sectors.</em></em></em>

scholarly journals Analisis Indikator Fundamental Ekonomi Daerah di Kalimatan Barat: Pertumbuhan Ekonomi, Pendapatan Perkapita dan HDI

2015 ◽  
Vol 4 (1) ◽  
pp. 72
Author(s):  
Nurul Bariyah
Keyword(s):  
Economic Growth ◽  
Low Income ◽  
Policy Development ◽  
High Performance ◽  
Secondary Data ◽  
High Income ◽  
West Kalimantan ◽  
Development Goals ◽  
Per Capita ◽  
Typology Analysis

This study aimed to identify the profile and classification of districts and cities in West Kalimantan based on indicators of local economic fundamentals such as economic growth, per capita income and the Human Development Index (HDI). Secondary data were obtained from the BPS West Kalimantan and other related agencies for the years 2005 - 2011. In the processing of secondary data to answer the purpose, this study uses local typology analysis tools to determine the pattern and structure of economic growth in each region (Kuncoro, 2004) which divides area into four categories: (1) regions with high-income and high economic growth; (2) regions with high-income and low economic growth; (3) regions with low-income and high economic growth; and (4) regions with low income and low economic growth.The research found development gaps between the City of West Kalimantan (Pontianak and Singkawang) and other districts where both cities have high-performance in economic growth, income per capita and HDI. None of the districts that have high performance in all three indicators. 11 other districts have diverse performance. Policy development at the district and municipal level should be based on development goals on a scale of local, provincial and national levels with a convergent pattern. This will facilitate the development of the region in the future. 

scholarly journals Perkembangan Indikator Ekonomi dan Kemakmuran Indonesia Dibandingkan dengan 6 Negara Tetangga Periode 2005-2012

2014 ◽  
Vol 5 (1) ◽  
pp. 101
Author(s):  
Theresia Lesmana
Keyword(s):  
Growth Rate ◽  
Gross Domestic Product ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Secondary Data ◽  
Economic Indicator ◽  
Output Growth ◽  
Gdp Per Capita ◽  
Per Capita ◽  
Fourth Position

In this study, the writer attempts basically to look at the economic indicator from three things, there are output growth rate, unemployment rate and inflation rate. For state prosperity indicator, the writer uses Gross Domestic Product (GDP) per capita. Object of this study uses the data from seven countries. They are Indonesia, Malaysia, Thailand, Singapura, Filipina, India and Cina. Economic and state prosperity indicator is viewed from the growth of eight years period from 2005 until 2012. The writer uses secondary data that is available on websites, such as website of International Monetary Fund, Central Statistic Body and etc. The analysis shows that Indonesia is at fourth position for output growth rate, sixth position for unemployment rate, the second position for inflation rate and the highest position for GDP per capita.

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